An overview of surface wave methods and a reliability study of a simplified inversion technique

Pelekis, Panagiotis; Athanasopoulos, George

doi:10.1016/j.soildyn.2011.06.012

Cited by 47 publications

(22 citation statements)

References 61 publications

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“…The value of VS for each individual layer is calculated using the equations 16 and 17 above for the cases of normal dispersion or inverted dispersion, respectively. The approach of Pelekis and Athanasopoulos (2011) improves on the Satoh and others (1991) method notably by optimizing the penetration depth coefficient .…”

Section: Inversion Of the Vs Profilementioning

confidence: 99%

“…The parameter is a penetration depth coefficient optimized to achieve a minimum weighted average difference between the simplified velocity profile and that computed through the more advanced inversion of Pelekis and Athanasopoulos (2011). The average apparent phase velocity, �� , is approximated as the velocity at each segment node (layer interface) of a multilinear curve fit to the dispersion curve.…”

Section: Inversion Of the Vs Profilementioning

confidence: 99%

See 1 more Smart Citation

Seismic velocity site characterization of 10 Arizona strong-motion recording stations by spectral analysis of surface wave dispersion

Kayen¹,

Carkin²,

Corbett³

2017

Open-File Report

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Section: Inversion Of the Vs Profilementioning

confidence: 99%

Section: Inversion Of the Vs Profilementioning

confidence: 99%

Seismic velocity site characterization of 10 Arizona strong-motion recording stations by spectral analysis of surface wave dispersion

Kayen¹,

Carkin²,

Corbett³

2017

Open-File Report

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“…Pelekis and Athanasopoulos (2011) advanced the work of Satoh and others (1991) in a technique termed the SIM (simplified inversion method) that computes the shear wave velocity profile as a function of the incremental slope of the Rayleigh wave dispersion curve, where D n is the depth at layer n:…”

Section: Inversion Of the Vs Profilementioning

confidence: 99%

“…The parameter is a penetration depth coefficient optimized to achieve a minimum weighted average difference between the simplified velocity profile and that computed through the more advanced inversion of Pelekis and Athanasopoulos (2011). The apparent phase velocity, �� , is approximated as the velocity at each segment node (layer interface) of a multilinear curve fit to the dispersion curve.…”

Section: Inversion Of the Vs Profilementioning

confidence: 99%

Shear Wave Velocity and Site Amplification Factors for 25 Strong-Motion Instrument Stations Affected by the M5.8 Mineral, Virginia, Earthquake of August 23, 2011

Kayen¹,

Carkin²,

Corbett³

et al. 2015

Open-File Report

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For more information on the USGS-the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment-visit http://www.usgs.gov/ or call 1-888-ASK-USGS (1-888-275-8747).For an overview of USGS information products, including maps, imagery, and publications, visit http://www.usgs.gov/pubprod/.Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner.Suggested citation: Kayen, R.E, Carkin, B.A., Corbett, S.C., Zangwill, Aliza, Estevez, Ivan, and Lai, Lena, 2015 AbstractVertical one-dimensional shear wave velocity (V s ) profiles are presented for 25 strong-motion instrument sites along the Mid-Atlantic eastern seaboard, Piedmont region, and Appalachian region, which surround the epicenter of the M5.8 Mineral, Virginia, Earthquake of August 23, 2011. Testing was performed at sites in Pennsylvania, Maryland, West Virginia, Virginia, the District of Columbia, North Carolina, and Tennessee. The purpose of the study is to determine the detailed site velocity profile, the average velocity in the upper 30 meters of the profile (V S,30 ), the average velocity for the entire profile (V S,Z ), and the National Earthquake Hazards Reduction Program (NEHRP) site classification. The V s profiles are estimated using a non-invasive continuous-sine-wave method for gathering the dispersion characteristics of surface waves. A large trailer-mounted active source was used to shake the ground during the testing and produce the surface waves. Shear wave velocity profiles were inverted from the averaged dispersion curves using three independent methods for comparison, and the root-mean square combined coefficient of variation (COV) of the dispersion and inversion calculations are estimated for each site.

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“…This inversion brings new solutions but still somewhat suffers long-term iteration for acceptable accuracy. The simplified inversion method (SIM) for surface wave dispersion data was one more contribution to solve the inversion efficiently [23], which makes use of a penetration depth coefficient to provide shear wave velocity vs. depth profile.…”

mentioning

confidence: 99%

Fast Inversion of Air-Coupled Spectral Analysis of Surface Wave (SASW) Using in situ Particle Displacement

Cao

McDaniel

et al. 2015

IJGI

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Spectral Analysis of Surface Wave (SASW) is widely used in nondestructive subsurface profiling for geological sites. The air-coupled SASW is an extension from conventional SASW methods by replacing ground-mounted accelerometers with non-contact microphones, which acquire a leaky surface wave instead of ground vibration. The air-coupled SASW is a good candidate for fast inspection in shallow geological studies. Especially for pavement maintenance, minimum traffic interference might be induced. One issue that restrains SASW from fast inspection is the traditional slow inversion which relies on guess-and-check iteration techniques including a forward analysis. In this article, a fast inversion analysis algorithm is proposed to estimate the shear velocity profile without performing conventional forward simulation. By investigating the attenuation of particle displacement along penetrating depths, a weighted combination relationship is derived to connect the dispersion curve with the shear velocity profile directly. Using this relationship, the shear velocity profile could be estimated from a given/measured dispersion curve. The proposed procedure allows the surface wave-based method to be fully automatic and even operated in real-time for geological site and pavement assessment. The method is verified OPEN ACCESS ISPRS Int. J. Geo-Inf. 2015, 4 2620 by the forward analysis with stiffness matrix method. It is also proved by comparing with other published results using various inversion methods.

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An overview of surface wave methods and a reliability study of a simplified inversion technique

Cited by 47 publications

References 61 publications

Seismic velocity site characterization of 10 Arizona strong-motion recording stations by spectral analysis of surface wave dispersion

Seismic velocity site characterization of 10 Arizona strong-motion recording stations by spectral analysis of surface wave dispersion

Shear Wave Velocity and Site Amplification Factors for 25 Strong-Motion Instrument Stations Affected by the M5.8 Mineral, Virginia, Earthquake of August 23, 2011

Fast Inversion of Air-Coupled Spectral Analysis of Surface Wave (SASW) Using in situ Particle Displacement

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